tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.name

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.name Name prepended to all ops created by this Distribution

2016-10-14 12:58:52
tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.variance()

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.variance(name='variance') Variance.

2016-10-14 12:58:45
tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.get_batch_shape()

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.get_batch_shape() Shape of a single sample from a single event index as

2016-10-14 12:58:35
tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.get_event_shape()

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.get_event_shape() Shape of a single sample from a single batch as a

2016-10-14 13:02:31
tf.contrib.distributions.GammaWithSoftplusAlphaBeta.log_pmf()

tf.contrib.distributions.GammaWithSoftplusAlphaBeta.log_pmf(value, name='log_pmf') Log probability mass function.

2016-10-14 12:53:58
tf.contrib.distributions.Multinomial.mean()

tf.contrib.distributions.Multinomial.mean(name='mean') Mean.

2016-10-14 12:56:59
tf.contrib.distributions.Beta.prob()

tf.contrib.distributions.Beta.prob(value, name='prob') Probability density/mass function (depending on is_continuous)

2016-10-14 12:46:37
tf.contrib.distributions.BetaWithSoftplusAB.prob()

tf.contrib.distributions.BetaWithSoftplusAB.prob(value, name='prob') Probability density/mass function (depending on is_continuous)

2016-10-14 12:47:04
tf.contrib.distributions.Normal.pdf()

tf.contrib.distributions.Normal.pdf(value, name='pdf') Probability density function. Args:

2016-10-14 13:00:09
tf.contrib.distributions.BernoulliWithSigmoidP.get_event_shape()

tf.contrib.distributions.BernoulliWithSigmoidP.get_event_shape() Shape of a single sample from a single batch as a TensorShape

2016-10-14 12:45:42